Senior Machine Learning Engineer (W/M/X)

Description du poste

Company Description

Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six, to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help us create the unknown!

Job Description

Ubisoft is natively data-driven: from the core of our games to our marketing actions, we’re leveraging data and algorithms.

Part of the Ubisoft Data Office, our team operates within the Player Domain, focusing on player safety and security. We build and deploy machine learning systems that keep our players protected — from detecting sanction circumvention using Graph Neural Networks (GNNs) to real-time identification of toxic chat using transformer models. Our scope is broad: NLP, anomaly detection, graph learning, and large language models.

Your role

Build scalable machine learning systems to preserve the trust and safety of our players. Our motto is to never stop at the prototyping phase — we combine research and engineering cycles with the objective of deploying production-grade products that have a real impact at scale. You will tackle hard problems at the intersection of NLP, anomaly detection, graph learning, and LLMs.

We are looking for a Senior Machine Learning Engineer with proven production experience, someone comfortable moving fluidly between research and engineering.

Missions

The archetypal missions for this position would be to

• Design, train, and deploy ML models across a range of player safety and security use cases, spanning NLP, anomaly detection, and graph-based learning.
• Evaluate and implement state-of-the-art ML techniques — adapting the latest research in deep learning, NLP, and graph learning to production constraints, implementing from scratch when needed.
• Take full ownership of the projects you build: interac

Annonce publiée sur Indeed et reprise par Intelligence Academy. Seule l'annonce d'origine fait foi ; nous ne sommes pas l'employeur.